Package: BayesSUR 2.3-3

Zhi Zhao

BayesSUR: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.

Authors:Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]

BayesSUR_2.3-3.tar.gz
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BayesSUR_2.3-3.tgz(r-4.6-x86_64)BayesSUR_2.3-3.tgz(r-4.6-arm64)BayesSUR_2.3-3.tgz(r-4.5-x86_64)BayesSUR_2.3-3.tgz(r-4.5-arm64)
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BayesSUR_2.3-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesSUR/json (API)

# Install 'BayesSUR' in R:
install.packages('BayesSUR', repos = c('https://mbant.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mbant/bayessur/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • exampleEQTL - Simulated data set to mimic a small expression quantitative trait loci (eQTL) example
  • exampleGDSC - Preprocessed data set to mimic a small pharmacogenomic example
  • targetGene - TargetGene

On CRAN:

Conda:

openblascppopenmp

5.98 score 8 stars 4 scripts 973 downloads 1 mentions 9 exports 17 dependencies

Last updated from:4da5262d01. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK221
linux-devel-x86_64OK207
source / vignettesOK303
linux-release-arm64OK224
linux-release-x86_64OK214
macos-release-arm64OK179
macos-release-x86_64OK339
macos-oldrel-arm64OK226
macos-oldrel-x86_64OK390
windows-develOK199
windows-releaseOK196
windows-oldrelOK235
wasm-releaseOK174

Exports:BayesSURelpdgetEstimatorplotCPOplotEstimatorplotGraphplotManhattanplotMCMCdiagplotNetwork

Dependencies:clicpp11digestfilehashglueigraphlatticelifecyclemagrittrMatrixpkgconfigpngRcppRcppArmadillorlangtikzDevicevctrs

BayesSUR with random effects
Simulate data | Run BayesSUR model with random effects | Referrence
Rendered fromBayesSUR-RE.Rmdusingknitr::rmarkdown

Last update: 2024-08-05
Started: 2023-11-30

BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
Introduction | Models specification | The R package BayesSUR | Quick start with a simple example | Two extended examples based on real data | Conclusion | The elpd
Rendered fromBayesSUR.pdf.asisusingR.rsp::asis

Last update: 2019-12-04
Started: 2019-12-04